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Building Resilient Public Networking on AWS: Part 4

Xebia

Architecture Overview The accompanying diagram visually represents our infrastructure’s architecture, highlighting the relationships between key components. AWS Global Accelerator Documentation : Explore the intricacies of AWS Global Accelerator with the official documentation, covering its features and configurations.

AWS 130
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach. As a result, building such a solution is often a significant undertaking for IT teams.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. In the following sections, we explain how to deploy this architecture.

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Comparing API Architectural Styles: SOAP vs REST vs GraphQL vs RPC

Altexsoft

These specifications make up the API architecture. Over time, different API architectural styles have been released. A pull of choices raises endless debates as to which architectural style is best. Right now, the SOAP architecture is most commonly used for internal integration within enterprises or with their trusted partners.

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Network topologies – A series: Part 1

Xebia

This triggered the idea to document a number of network topologies, starting with the most simple of the simple, working our way to more complex setups. It’s expected that the reader does have some knowledge about basic cloud concepts, such as VPC and firewall rules, or have the ability to find the documentation for this when needed.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Empowering knowledge retrieval and generation with scalable Retrieval Augmented Generation (RAG) architecture is increasingly important in today’s era of ever-growing information. collect() Next, you can visualize the size of each document to understand the volume of data you’re processing. latest USER root RUN dnf install python3.11

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Create your Private Data Warehousing Environment Using Azure Kubernetes Service

Cloudera

Cloudera Data Warehouse (CDW) is a cloud native data warehouse service that runs Cloudera’s powerful query engines on a containerized architecture to do analytics on any type of data. CDW has long had many pieces of this security puzzle solved, including private load balancers, support for Private Link, and firewalls.

Azure 123